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IEEE 23rd International Conference on Data…
The k-anonymity privacy requirement for publishing microdata requires that each equivalence class (i.e., a set of records that are indistinguishable from each other with respect to certain… Continue Reading
Proceedings IEEE Symposium on Security and…
We introduce the RT framework, a family of role-based trust management languages for representing policies and credentials in distributed authorization. RT combines the strengths of role-based access… Continue Reading
We introduce a simple Role-based Trust-management language RT0 and a set-theoretic semantics for it. We also introduce credential graphs as a searchable representation of credentials in RT0 and prove… Continue Reading
A probabilistic password model assigns a probability value to each string. Such models are useful for research into understanding what makes users choose more (or less) secure passwords, and for… Continue Reading
We propose the role-and-relation-based access control (R2BAC) model for workflow authorization systems. In R2BAC, in addition to a user’s role memberships, the user’s relationships with other users… Continue Reading
A statistical database is a database used for statistical analysis purposes. It is an OLAP (online analytical processing), instead of OLTP (online transaction. Whats new? Help us improve this… Continue Reading
Protocols satisfying Local Differential Privacy (LDP) enable parties to collect aggregate information about a population while protecting each user’s privacy, without relying on a trusted third… Continue Reading
We address the problem of authorization in large-scale, open, distributed systems. Authorization decisions are needed in electronic commerce, mobile-code execution, remote resource sharing, privacy… Continue Reading
k-anonymization techniques have been the focus of intense research in the last few years. An important requirement for such techniques is to ensure anonymization of data while at the same time… Continue Reading
IEEE Transactions on Knowledge and Data…
Several anonymization techniques, such as generalization and bucketization, have been designed for privacy preserving microdata publishing. Recent work has shown that generalization loses… Continue Reading